Medical publishing: a flawed model in dire need of reform.

Recently, in the midst of the Covid-19 pandemic, high-profile retractions of some papers published in prestigious medical journals have highlighted the necessity for structural reform to the current model of medical publishing. We discuss what ails the current system and what can be done to remedy it.

Designing clinical guidelines that improve access and satisfaction in the emergency department.

Clinical guidelines are evidence-based clinician decision-support tools that improve health outcomes, reduce patient harm, and decrease healthcare costs, but are often underused in emergency departments (EDs). This article describes a replicable, evidence-based design-thinking approach to developing best practices for guideline design that improves clinical satisfaction and usage. We used a 5-step process to enhance guideline usability in our ED. First, we conducted end-user interviews to identify barriers to guideline usage. Second, we reviewed the literature to identify key principles in guideline design. Third, we applied our findings to create a standardized guideline format, incorporating rapid cycle learning and iterative improvements. Fourth, we ensured the clinical validity of our updated guidelines by using a rigorous process for peer review. Lastly, we evaluated the impact of our guideline conversion process by tracking clinical guidelines access per day from October 2020 to January 2022. Our end-user interviews and review of the design literature revealed several barriers to guideline use, including lack of readability, design inconsistencies, and guideline complexity. Although our previous clinical guideline system averaged 0.13 users per day, >43 users per day accessed the clinical guidelines on our new digital platform in January 2022, representing an increase in access and use exceeding 33,000%. Our replicable process using open-access resources increased clinician access to and satisfaction with clinical guidelines in our ED. Design-thinking and use of low-cost technology can significantly improve clinical guideline visibility and has the potential to increase guideline use.

Open data for monitoring COVID-19 in Spain: Descriptive study.

BACKGROUND: The indicators of the pandemic have been based on the total number of diagnosed cases of COVID-19, the number of people hospitalized or in intensive care units, and deaths from the infection. The aim of this study is to describe the available data on diagnostic tests, health service used for the diagnosis of COVID-19, case detection and monitoring. METHOD: Descriptive study with review of official data available on the websites of the Spanish health councils corresponding to 17 Autonomous Communities, 2 Autonomous cities and the Ministry of Health. The variables collected refer to contact tracing, technics for diagnosis, use of health services and follow-up. RESULTS: All regions of Spain show data on diagnosed cases of COVID-19 and deaths. Hospitalized cases and intensive care admissions are shown in all regions except the Balearic Islands. Diagnostic tests for COVID-19 have been registered in all regions except Madrid region and Extremadura, with scarcely information on what type of test has been performed (present in 7 CCAA), requesting service and study of contacts. CONCLUSIONS: The information available on the official websites of the Health Departments of the different regions of Spain are heterogeneous. Data from the use of health service or workload in Primary Care, Emergency department or Out of hours services are almost non-existent.

Biomolecular Simulations in the Time of COVID19, and After.

COVID19 has changed life for people worldwide. Despite lockdowns globally, computational research has pressed on, working remotely and collaborating virtually on research questions in COVID19 and the virus it is caused by, SARS-CoV-2. Molecular simulations can help to characterize the function of viral and host proteins and have the potential to contribute to the search for vaccines and treatments. Changes in the modus operandi of research groups include broader adoption of the use of preprint servers, earlier and more open sharing of methods, models, and data, the use of social media to rapidly disseminate information, online seminars, and cloud-based virtual collaboration. Research funders and computing providers worldwide recognized the need to provide rapid and significant access to computational architectures. In this review, we discuss how the interplay of all of these factors is influencing the impact - both potential and realized - of biomolecular simulations in the fight against SARS-CoV-2.